Statistical Methods overview

Classical and Bayesian statistical inference, experimental design, and causal analysis. Covers hypothesis testing, regression and GLMs, survival analysis, time-series modeling, and resampling techniques (bootstrap, cross-validation). Addresses reproducibility, multiple-comparison corrections, and reporting standards for scientific publications. Increasingly applied to A/B testing, clinical trials, and data-driven product decisions.